title: Spatial correlation based artifact detection for automatic seizure detection in EEG.
abstract: Automatic EEG-processing systems such as seizure detection systems are more and more in use to cope with the large amount of data that arises from long-term EEG-monitorings. Since artifacts occur very often during the recordings and disturb the EEG-processing, it is crucial for these systems to have a good automatic artifact detection. We present a novel, computationally inexpensive automatic artifact detection system that uses the spatial distribution of the EEG-signal and the location of the electrodes to detect artifacts on electrodes. The algorithm was evaluated by including it into the automatic seizure detection system EpiScan and applying it to a very large amount of data including a large variety of EEGs and artifacts.
authors.forename: Ana M
authors.initials: AM
authors.lastname: Skupch
authors.forename: Peter
authors.initials: P
authors.lastname: Dollfuß
authors.forename: Franz
authors.initials: F
authors.lastname: Fürbaß
authors.forename: Gerhard
authors.initials: G
authors.lastname: Gritsch
authors.forename: Manfred M
authors.initials: MM
authors.lastname: Hartmann
authors.forename: Hannes
authors.initials: H
authors.lastname: Perko
authors.forename: Ekaterina
authors.initials: E
authors.lastname: Pataraia
authors.forename: Gerald
authors.initials: G
authors.lastname: Lindinger
authors.forename: Tilmann
authors.initials: T
authors.lastname: Kluge
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001921:Brain / Q000473:pathology*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004566:Electrodes; D004569:Electroencephalography / Q000379:methods*; D001330:Electronic Data Processing; D006801:Humans; D012640:Seizures / Q000175:diagnosis*; D012815:Signal Processing, Computer-Assisted; D012984:Software